DataAvailability_eLIFE2019/datacite.yml

# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
# For detailed schema description see https://doi.org/10.5438/0014

## Required fields

# The main researchers involved. Include digital identifier (e.g., ORCID)
# if possible, including the prefix to indicate its type.
authors:
  -
    firstname: Youna
    lastname: Vandaele
    affiliation: Johns Hopkins University
    id: 0000-0002-8389-8850
  -
    firstname: Nagaraj R.
    lastname: Mahajan
    affiliation: Johns Hopkins University
    id: 
  -
    firstname: David
    lastname: Ottenheimer
    affiliation: Johns Hopkins University
    id: 
  -
    firstname: Jocelyn M.
    lastname: Richard
    affiliation: University of Minnesota
    id:
   -
    firstname: Shreesh P.
    lastname: Mysore
    affiliation: Johns Hopkins University
    id:
   -
    firstname: Patricia H.
    lastname: Janak
    affiliation: Johns Hopkins University
    id:  

# A title to describe the published resource.
title: Distinct recruitment of dorsomedial and dorsolateral striatal
neural activity in an instrumental task erodes with extended
training

# Additional information about the resource, e.g., a brief abstract.
description:
  	This is a dataset from our paper submitted in eLife "Distinct recruitment of dorsomedial and dorsolateral striatal
	neural activity in an instrumental task erodes with extended training" It contains in vivo single unit data recorded in the dorsolateral and dorsomedial striatum as well as 
    the corresponding behavioral data from rats performing the discrete trial fixed-ratio 5 task. It also contains the code to analyze the data and produce the figures from our paper.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Electrophysiology
  - basal ganglia
  - habit
  - skill learning
  - dorsal striatum

# License information for this resource. Please provide the license name and/or a link to the license.
# Please add also a corresponding LICENSE file to the repository.
license:
  name: "Creative Commons CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "DFG, DFG.12345"
  - "EU, EU.12345"


# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
# Please provide digital identifier (e.g., DOI) if possible.
# Add a prefix to the ID, separated by a colon, to indicate the source.
# Supported sources are: DOI, arXiv, PMID
references:
  -
    id: "doi:10.xxx/zzzz"
    reftype: "IsSupplementTo"
    name: "PublicationName1"
  -
    id: "arxiv:mmmm.nnnn"
    reftype: "IsSupplementTo"
    name: "PublicationName2"
  -
    id: "pmid:nnnnnnnn"
    reftype: "IsReferencedBy"
    name: "PublicationName3"


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Dataset